Senior Data Scientist

Easyjet; Greater London; On-site; GBP 30,000 - 70,000; Full time

Benefits offered by this job

Bonus up to 20%

Private Medical Insurance

Pension contributions 7%

Staff travel benefits

25 days annual leave + bank holidays

Travel credit for easyJet holidays

Flexible benefits

Job summary

easyJet, a FTSE-listed, major European low-cost airline, is seeking an experienced Data Scientist lead to drive end-to-end analytics projects. You will translate insights into actionable guidance for operations and technology teams, shaping smarter decisions across the business.

You will mentor junior data scientists and collaborate with Product Owners, Software Engineers and cross-functional teams to deliver measurable performance improvements.

Qualifications

• Significant experience leading end-to-end Data Science projects in complex environments.
• Degree or MSc in a scientific/analytical discipline such as Statistics, Mathematics, CS, Engineering or Physical Sciences.
• Significant commercial experience in Data Science roles with progression in responsibility.
• Strong knowledge across programming, ML, data prep, visualisation and predictive analytics.
• Exposure to optimisation, simulation or advanced analytical techniques.
• Experience delivering DS solutions in operational environments.
• Proven ability to manage projects and deliver results in fast-paced settings.
• Strong stakeholder management with the ability to present to non-technical audiences.
• Experience working with Product Owners, Software Engineers and cross-functional teams.
• Passion for mentoring and building analytical capability.

Responsibilities

• Lead end-to-end delivery of Data Science projects from problem definition to production deployment.
• Analyse complex datasets from multiple sources to drive strategic decisions.
• Develop, validate and deploy predictive, simulation and optimisation models.
• Translate findings into clear recommendations for technical and non-technical audiences.
• Collaborate with cross-functional teams to support operational and technology transformation.
• Mentor junior Data Scientists and share knowledge.
• Contribute to best practice development across the organisation.
• Stay updated on emerging tools and methods and evaluate for business use.

Skills

Data science leadership

Stakeholder management

Communication

Cross-functional collaboration

Mentoring

Education

Degree in Statistics/Mathematics/CS/Engineering

Tools

Machine Learning

Job description

Salary: £30,000 - 70,000 per year

Requirements

• Significant experience leading end-to-end Data Science projects within operational, logistics, manufacturing or similarly complex environments
• Degree or MSc in a scientific, engineering or analytical discipline such as Statistics, Mathematics, Computer Science, Engineering or Physical Sciences
• Significant commercial experience in Data Science roles, with demonstrable progression in responsibility
• Strong technical knowledge across key areas of the Data Science toolkit including programming, machine learning, data preparation, visualisation and predictive analytics
• Exposure to optimisation, simulation or advanced analytical techniques
• Experience delivering Data Science solutions within operational, logistics, manufacturing, process-driven or similarly complex business environments
• Proven ability to independently manage projects, prioritise competing demands and deliver results in fast-paced environments
• Strong stakeholder management and communication skills, with confidence presenting technical concepts to non-technical audiences
• Experience working alongside Product Owners, Software Engineers and cross-functional teams
• Strong commercial awareness and a pragmatic approach to solving business problems
• Passion for mentoring, collaboration and building analytical capability within teams

Responsibilities

• Lead end-to-end delivery of Data Science projects, from problem definition and modelling through to production implementation and monitoring
• Analyse complex datasets from multiple sources to answer strategic business questions and identify opportunities for improvement
• Develop, validate and deploy predictive, simulation and optimisation models to support business performance
• Translate technical findings into clear, actionable recommendations for technical and non-technical stakeholders
• Collaborate with cross-functional teams in a product-led environment to support operational and technology transformation initiatives
• Mentor junior Data Scientists, providing coaching, technical guidance and knowledge sharing
• Contribute to best practice development, helping strengthen Data Science capability across the organisation
• Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application

Technologies

• Support
• Machine Learning
• Network

More

We are easyJet, a FTSE listed, multi-billion low-cost airline serving tens of millions of customers every year. We fly more than 1,207 routes, connecting 38 countries across Europe, and employ more than 18,000 colleagues. Our mission is to make low-cost travel easy, and our Data Science team sits at the centre of driving smarter, faster and more informed decision making across the business. We work in a collaborative product environment with stakeholders across operations and technology to solve complex challenges, improve performance and enhance customer experience. We offer up to 20% maximum bonus, Private Medical Insurance, 7% pension contributions, excellent staff travel benefits, 25 days of annual leave plus bank holidays, an annual credit towards an easyJet holiday, and various flexible benefits and extras.